import tkinter as tk
from tkinter import ttk
import requests
from bs4 import BeautifulSoup
import threading
import time


class StockMonitor:
    def __init__(self, root):
        self.root = root
        self.root.title("股票涨停监控")
        self.create_widgets()
        self.start_update()

    def create_widgets(self):
        # 创建三栏容器
        self.paned_window = tk.PanedWindow(self.root, orient=tk.HORIZONTAL)
        self.paned_window.pack(fill=tk.BOTH, expand=1)

        # 创建三个区块
        self.frames = {}
        for source in ["东方财富", "同花顺", "开盘吧"]:  # 简化为三个示例
            frame = ttk.Frame(self.paned_window, padding=10)
            self.paned_window.add(frame)
            self.frames[source] = self.create_source_frame(frame, source)

    def create_source_frame(self, parent, source):
        # 创建带滚动条的Treeview
        frame = ttk.Frame(parent)
        frame.pack(fill=tk.BOTH, expand=True)

        tree = ttk.Treeview(frame, columns=("代码", "名称", "原因", "详情"), show="headings")
        vsb = ttk.Scrollbar(frame, orient="vertical", command=tree.yview)
        tree.configure(yscrollcommand=vsb.set)

        # 设置列
        columns = {
            "代码": 100,
            "名称": 100,
            "原因": 200,
            "详情": 150
        }
        for col, width in columns.items():
            tree.heading(col, text=col)
            tree.column(col, width=width)

        # 布局
        tree.grid(row=0, column=0, sticky="nsew")
        vsb.grid(row=0, column=1, sticky="ns")
        frame.grid_columnconfigure(0, weight=1)
        frame.grid_rowconfigure(0, weight=1)

        return tree

    def start_update(self):
        def update_loop():
            while True:
                self.update_data()
                time.sleep(30)  # 每30秒更新一次

        thread = threading.Thread(target=update_loop, daemon=True)
        thread.start()

    def update_data(self):
        # 这里应调用实际爬虫函数，暂时使用模拟数据
        simulated_data = {
            "东方财富": [
                ("600000", "浦发银行", "业绩预增", "2023-07-20 10:15"),
                ("000001", "平安银行", "政策利好", "2023-07-20 10:16")
            ],
            "同花顺": [
                ("600519", "贵州茅台", "消费复苏", "2023-07-20 10:17")
            ],
            "开盘吧": [
                ("300750", "宁德时代", "新能源利好", "2023-07-20 10:18")
            ]
        }

        for source, tree in self.frames.items():
            self._update_treeview(tree, simulated_data.get(source, []))

    def _update_treeview(self, tree, data):
        # 清空旧数据
        for item in tree.get_children():
            tree.delete(item)

        # 添加新数据
        for item in data:
            tree.insert("", "end", values=item)

        # 在GUI线程安全更新
        self.root.after(0, lambda: None)

    # 以下是示例爬虫函数框架
    def fetch_eastmoney(self):
        try:
            url = "https://data.eastmoney.com/stock/tradedetail.html"
            headers = {
                "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
            }
            response = requests.get(url, headers=headers)
            soup = BeautifulSoup(response.text, "html.parser")
            # 解析逻辑...
            return []
        except Exception as e:
            print(f"爬取失败: {str(e)}")
            return []


if __name__ == "__main__":
    root = tk.Tk()
    app = StockMonitor(root)
    root.geometry("1200x600")
    root.mainloop()